Answer / Shuchi Garg

Latent Dirichlet Allocation (LDA) is a generative probabilistic topic modeling algorithm used for unsupervised discovery of thematic structure in large collections of text documents. It assumes each document is a mixture of topics, and each topic is a distribution over words.

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